Create app.py

app.py

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+import os
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+import gradio as gr
+
+# Load model
+tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
+model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
+pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
+
+# Agent styles
+personas = {
+    "🟢 Optimist": "Take a positive and hopeful viewpoint",
+    "🔴 Pessimist": "Take a critical or negative viewpoint",
+    "🟡 Neutral": "Respond with a balanced and unbiased view"
+}
+
+# Generate debate response
+def generate_debate(topic):
+    responses = {}
+    for label, style in personas.items():
+        prompt = f"You are a debater. {style}. The topic is: '{topic}'. What is your opinion?"
+        out = pipe(prompt, max_new_tokens=100, temperature=0.7)[0]["generated_text"]
+        responses[label] = out
+    return responses
+
+# Gradio Interface
+def interface_fn(topic):
+    responses = generate_debate(topic)
+    return "\n\n".join([f"**{k}**: {v}" for k, v in responses.items()])
+
+demo = gr.Interface(fn=interface_fn,
+                    inputs=gr.Textbox(label="Enter a Debate Topic"),
+                    outputs=gr.Markdown(),
+                    title="🎙️ Multi-Agent Debate Simulator",
+                    description="This app simulates a debate from different viewpoints using FLAN-T5 on Hugging Face.")
+
+demo.launch()